Triple

T19918273
Position Surface form Disambiguated ID Type / Status
Subject Moxyland E478720 entity
Predicate mainCharacter P1183 FINISHED
Object Lerato
Lerato is a central protagonist in Lauren Beukes' cyberpunk novel "Moxyland," depicted as an ambitious corporate programmer navigating a dystopian, high-tech Cape Town.
E1402106 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lerato | Statement: [Moxyland, mainCharacter, Lerato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerato
Context triple: [Moxyland, mainCharacter, Lerato]
  • A. Nontsikelelo
    Nontsikelelo is the given name of South African anti-apartheid activist and political leader Albertina Sisulu.
  • B. Zanele
    Zanele is a feminine given name commonly used in Southern Africa, particularly among Zulu and Xhosa speakers.
  • C. Zandile
    Zandile is a given name notably borne by Amala Ratna Zandile Dlamini, the South African–American rapper and singer known professionally as Doja Cat.
  • D. Thandiwe
    Thandiwe is a feminine given name of African origin, notably borne by British-Zimbabwean actress Thandiwe Newton.
  • E. Thembekile
    Thembekile is a given name notably borne by Thembekile Mandela, one of Nelson Mandela’s sons.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lerato
Triple: [Moxyland, mainCharacter, Lerato]
Generated description
Lerato is a central protagonist in Lauren Beukes' cyberpunk novel "Moxyland," depicted as an ambitious corporate programmer navigating a dystopian, high-tech Cape Town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lerato
Target entity description: Lerato is a central protagonist in Lauren Beukes' cyberpunk novel "Moxyland," depicted as an ambitious corporate programmer navigating a dystopian, high-tech Cape Town.
  • A. Nontsikelelo
    Nontsikelelo is the given name of South African anti-apartheid activist and political leader Albertina Sisulu.
  • B. Zanele
    Zanele is a feminine given name commonly used in Southern Africa, particularly among Zulu and Xhosa speakers.
  • C. Zandile
    Zandile is a given name notably borne by Amala Ratna Zandile Dlamini, the South African–American rapper and singer known professionally as Doja Cat.
  • D. Thandiwe
    Thandiwe is a feminine given name of African origin, notably borne by British-Zimbabwean actress Thandiwe Newton.
  • E. Thembekile
    Thembekile is a given name notably borne by Thembekile Mandela, one of Nelson Mandela’s sons.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c3d990819089386d9f30323e8c completed April 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea52592481909419476f335b6046 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07f2c7dec48190a698509098479a56 completed May 16, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a07f376f5388190989a0460528945df completed May 16, 2026, 4:32 a.m.
Created at: April 10, 2026, 1:53 p.m.